Dataloader

MultiDialog.py

@@ -0,0 +1,75 @@
+import json
+import os
+from datasets import load_dataset, DatasetInfo, DatasetDict, SplitGenerator, Split, Features, Value, Audio
+
+_DESCRIPTION = """
+Custom version of the Common Voice dataset with additional test_freq split including custom audio and metadata.
+"""
+
+_CITATION = """
+@inproceedings{commonvoice:2020,
+  author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
+  title = {Common Voice: A Massively-Multilingual Speech Corpus},
+  booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
+  year = 2020
+}
+"""
+
+_HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets"
+_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
+
+class CustomCommonVoice(datasets.GeneratorBasedBuilder):
+    """Builder for a modified Common Voice dataset including a custom test_freq split."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="test_freq", description="Custom rare test split of the Common Voice dataset."),
+    ]
+
+    DEFAULT_CONFIG_NAME = "test_freq"  # Default configuration to use if none specified.
+
+    def _info(self):
+        return DatasetInfo(
+            description=_DESCRIPTION,
+            features=Features({
+                "id": Value("string"),
+                "utterance": Value("int32"),
+                "from": Value("string"),
+                "value": Value("string"),
+                "emotion": Value("string"),
+                "file_name": Value("string"),
+                "audio": Audio(sampling_rate=16_000),
+            }),
+            supervised_keys=("audio", "value"),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        test_freq_dir = os.path.abspath("test_freq")  # Adjust path as needed
+        test_freq_metadata = os.path.join(test_freq_dir, "metadata.jsonl")
+
+        return [
+            SplitGenerator(
+                name=Split.TEST,
+                gen_kwargs={"metadata_path": test_freq_metadata, "audio_dir": test_freq_dir}),
+        ]
+
+    def _generate_examples(self, metadata_path, audio_dir):
+        """Yields examples."""
+        with open(metadata_path, 'r', encoding='utf-8') as f:
+            for line in f:
+                metadata = json.loads(line)
+                audio_path = os.path.join(audio_dir, metadata['file_name'])
+                yield metadata['id'], {
+                    "id": metadata['id'],
+                    "utterance": metadata['utterance'],
+                    "from": metadata['from'],
+                    "value": metadata['value'],
+                    "emotion": metadata['emotion'],
+                    "file_name": metadata['file_name'],
+                    "audio": audio_path,
+                }